Gregory Bregion Daniel

664 total citations
36 papers, 466 citations indexed

About

Gregory Bregion Daniel is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Gregory Bregion Daniel has authored 36 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Mechanical Engineering, 13 papers in Control and Systems Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Gregory Bregion Daniel's work include Tribology and Lubrication Engineering (22 papers), Gear and Bearing Dynamics Analysis (19 papers) and Hydraulic and Pneumatic Systems (11 papers). Gregory Bregion Daniel is often cited by papers focused on Tribology and Lubrication Engineering (22 papers), Gear and Bearing Dynamics Analysis (19 papers) and Hydraulic and Pneumatic Systems (11 papers). Gregory Bregion Daniel collaborates with scholars based in Brazil, United States and Denmark. Gregory Bregion Daniel's co-authors include Kátia Lucchesi Cavalca, Tiago Machado, Diogo Stuani Alves, Hélio Fiori de Castro, Stephen Ekwaro-Osire, João‐Paulo Dias, M. J. Anderson, Antonio Carlos Bannwart, André R. Fioravanti and Ilmar F. Santos and has published in prestigious journals such as Energy Conversion and Management, Mechanical Systems and Signal Processing and Tribology International.

In The Last Decade

Gregory Bregion Daniel

34 papers receiving 447 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gregory Bregion Daniel Brazil 13 368 216 92 49 45 36 466
Xiulong Chen China 15 350 1.0× 445 2.1× 96 1.0× 100 2.0× 52 1.2× 61 559
Guan Qiao China 12 372 1.0× 295 1.4× 79 0.9× 23 0.5× 30 0.7× 26 508
T. Piątkowski Poland 11 248 0.7× 199 0.9× 110 1.2× 54 1.1× 35 0.8× 38 356
David B. Dooner Puerto Rico 12 476 1.3× 209 1.0× 128 1.4× 34 0.7× 105 2.3× 33 596
Alireza Ahmadi Iran 10 524 1.4× 255 1.2× 148 1.6× 83 1.7× 42 0.9× 12 586
M. Amarnath India 13 410 1.1× 191 0.9× 173 1.9× 32 0.7× 50 1.1× 28 516
Jawaid I. Inayat-Hussain Malaysia 13 368 1.0× 294 1.4× 66 0.7× 97 2.0× 37 0.8× 39 497
Petr Ferfecki Czechia 12 305 0.8× 188 0.9× 53 0.6× 206 4.2× 48 1.1× 52 425
Lech Murawski Poland 10 264 0.7× 96 0.4× 78 0.8× 85 1.7× 12 0.3× 47 378
Minggang Du China 12 294 0.8× 287 1.3× 128 1.4× 88 1.8× 17 0.4× 31 484

Countries citing papers authored by Gregory Bregion Daniel

Since Specialization
Citations

This map shows the geographic impact of Gregory Bregion Daniel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gregory Bregion Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Bregion Daniel more than expected).

Fields of papers citing papers by Gregory Bregion Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory Bregion Daniel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gregory Bregion Daniel. The network helps show where Gregory Bregion Daniel may publish in the future.

Co-authorship network of co-authors of Gregory Bregion Daniel

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Bregion Daniel. A scholar is included among the top collaborators of Gregory Bregion Daniel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregory Bregion Daniel. Gregory Bregion Daniel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Cavalca, Kátia Lucchesi, et al.. (2024). Identification of non-circular profiles in hydrodynamic journal bearings. Mechanism and Machine Theory. 203. 105819–105819. 2 indexed citations
3.
Daniel, Gregory Bregion, et al.. (2023). Vibrational signature of journal bearing oil starvation considering thermal effects and rotor unbalance variation. Tribology International. 191. 109132–109132. 8 indexed citations
4.
Ekwaro-Osire, Stephen, João‐Paulo Dias, Diogo Stuani Alves, et al.. (2023). Verification and Validation of Rotating Machinery Using Digital Twin. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering. 10(1). 5 indexed citations
5.
Daniel, Gregory Bregion, et al.. (2023). Evaluation of physics-informed neural networks (PINN) in the solution of the Reynolds equation. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 45(11). 11 indexed citations
6.
Daniel, Gregory Bregion, et al.. (2022). Development of a Robust Test Rig for Tilting Pad Journal Bearing Validation. Machines. 10(3). 189–189. 2 indexed citations
7.
Daniel, Gregory Bregion, et al.. (2021). A model-based technique to identify lubrication condition of hydrodynamic bearings using the rotor vibrational response. Tribology International. 160. 107038–107038. 14 indexed citations
8.
Daniel, Gregory Bregion, et al.. (2020). Influence of Injection Pressure on the Thermohydrodynamic Behavior of Tilting Pad Journal Bearings—Model and Experiment. Tribology Transactions. 64(3). 513–527. 2 indexed citations
9.
Daniel, Gregory Bregion, et al.. (2020). A new concept of active hydrodynamic bearing for application in rotating systems. Tribology International. 153. 106592–106592. 9 indexed citations
10.
Dias, João‐Paulo, Stephen Ekwaro-Osire, Diogo Stuani Alves, et al.. (2020). Simulation-Driven Deep Learning Approach for Wear Diagnostics in Hydrodynamic Journal Bearings. Journal of Tribology. 143(8). 16 indexed citations
11.
Daniel, Gregory Bregion, et al.. (2019). Evaluation of bearing’s cavitation effects on the rotor dynamic behavior. Applied Mathematical Modelling. 77. 49–65. 15 indexed citations
12.
Andersen, Torgeir B., et al.. (2019). A 3D Approach for THD Lubrication in Tilting Pad Journal Bearing—Theory and Experiment. Tribology Transactions. 63(1). 120–132. 14 indexed citations
13.
Daniel, Gregory Bregion, et al.. (2019). Piezoelectric harvester for smart tilting pad journal bearings. Energy Conversion and Management. 205. 112338–112338. 18 indexed citations
14.
Noritomi, Pedro Yoshito, et al.. (2018). Numerical model proposed for a temporomandibular joint prosthesis based on the recovery of the healthy movement. Computer Methods in Biomechanics & Biomedical Engineering. 21(8). 503–511. 3 indexed citations
15.
Daniel, Gregory Bregion, et al.. (2018). Influence of bearing ovalization in the dynamic of a planar slider-crank mechanism. Applied Mathematical Modelling. 66. 175–194. 8 indexed citations
16.
Daniel, Gregory Bregion, et al.. (2017). Development of a Computational Package for Kinematic Analysis and Design of Gear Pairs. Anais do Congresso de Iniciação Científica da Unicamp. 1 indexed citations
17.
Daniel, Gregory Bregion, et al.. (2014). Dynamic analysis of a lubricated planar slider–crank mechanism considering friction and Hertz contact effects. Mechanism and Machine Theory. 74. 257–273. 57 indexed citations
18.
Daniel, Gregory Bregion & Kátia Lucchesi Cavalca. (2011). Analysis of the dynamics of a slider–crank mechanism with hydrodynamic lubrication in the connecting rod–slider joint clearance. Mechanism and Machine Theory. 46(10). 1434–1452. 68 indexed citations
19.
Daniel, Gregory Bregion, et al.. (2005). DIAGNOSE OF FAULTS IN MECHANICAL SYSTEMS WITH UNKNOWN INPUTS USING PROPORTIONAL AND INTEGRAL STATE OBSERVERS. 3 indexed citations
20.
Daniel, Gregory Bregion, et al.. (1982). Performance of selected synthetic lubricants in industrial heat pumps. Journal of Heat Recovery Systems. 2(4). 359–368. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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